Integrated remote controller distinguishing home appliances by deep learning

T. Hase, T. Sakao
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引用次数: 1

Abstract

This paper describes a method for distinguishing various home appliances with separate remote controllers and integrating control with a single remote controller. We propose that images of home appliances can be obtained with a camera, after which the appliances can be distinguished from each other by a convolutional neural network. We developed an experimental system to evaluate our proposed method and demonstrated that the system could distinguish different home appliances with a high accuracy of 99%.
集成遥控器,通过深度学习识别家电
本文介绍了一种用单独的遥控器区分各种家电,并用单个遥控器进行综合控制的方法。我们提出用相机获取家电图像,然后用卷积神经网络对家电进行区分。我们开发了一个实验系统来评估我们提出的方法,并证明该系统可以区分不同的家电,准确率高达99%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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